This course explores the commercial implications and opportunities of AI, focusing on building business cases, understanding market applications, and addressing ethical and legal considerations.
Session 1: AI Ecosystem and Business Opportunities (9:00 AM – 10:30 AM)
Exploring the history and potential of AI within the digital ecosystem.
Identifying potential business opportunities of AI in various commercial contexts.
Understanding the distinction between strong (general) and weak (narrow) AI in commercial applications.
Session 2: AI Technologies and Commercial Applications (10:45 AM – 12:30 PM)
Delving into the mechanics of key machine learning types (supervised, reinforcement, unsupervised) relevant to business.
Understanding deep learning and neural networks in powering modern commercial AI.
Examining current commercial applications of AI, such as cybersecurity, predictive analytics, and digital twins.
Lunch Break (12:30 PM – 1:30 PM)
Session 3: Ethics, Regulation, and Driving AI in Business (1:30 PM – 3:00 PM)
Exploring ethical and legal considerations around artificial intelligence in a commercial setting (e.g., bias, privacy, autonomous decision-making).
Understanding legislation and responsible AI development for businesses.
Strategies for building a business case for AI implementation.
Session 4: AI and the Future of Work & Commercial Impact (3:15 PM – 4:30 PM)
Exploring the impact of AI in the labor market and human-AI collaboration.
Key challenges and tips for adopting AI technologies in commercial environments.
Discussing the long-term commercial impact of AI and strategies for staying competitive.
